Yogendran Nandagopal
AI/ML & Python Lead | Technical Architect | Architecting Scalable Cloud Solutions (AWS, GCP, Azure) | Microservices | 10+ Yrs
- Role
- Software Engineer Lead at Capgemini
- Location
- Pittsburgh, PA, US
- LinkedIn followers
- 500 followers
About Yogendran Nandagopal
Results-driven Lead Python Developer with 10+ years of experience in software development, machine learning, and AI-driven solutions. Adept at designing and deploying scalable, intelligent, and data-driven applications to solve complex business challenges. Design and Development of Python framework that was leveraged to run 140+ Python-based software utilities responsible for generating reports for Current Expected Credit Losses (CECL) and Comprehensive Capital Analysis and Review (CCAR) for a major U.S. bank. Led a team of software developers as a Python Lead to build, enhance, and support 60+ Python utilities for risk and regulatory management in the banking sector. Developed 15+ business process improvement applications that optimized operational efficiency and delivered measurable business value. Managed a conversational chatbot built with LSTM neural networks (TensorFlow), serving 10K+ users daily, ensuring performance optimization and feature enhancements. Built a working MVP from scratch - Hyper-Personalized Content Adaptive System - for a personalized learning platform, leveraging Deep Reinforcement Learning (Deep Q-Learning, PyTorch). Spearheaded full-stack development and agile team collaborations, delivering high-impact software solutions. Managed geo-distributed teams to develop and implement new software applications. Specialties: Languages: Python Tools and Frameworks: Pandas, PyTorch, Docker, NumPy, Matplotlib, Scikit-learn, Git, Flask, PyCharm, Node-RED Technologies: Machine Learning, Deep Learning, Reinforcement Learning, Exploratory Data Analysis, SAS (basic understanding to help with conversion to Python) Methodologies: Agile, Design Thinking
Experience
Software Engineer Lead
Jun 2025 — Present · Philadelphia, PA, US
Create new Python microservices and adapt current microservices, working with front-end and back-end clients from design through implementation, deployment, and production support. • Architect and deploy serverless services and microservices. • Utilize working knowledge of the AWS ecosystem (including ECS/Fargate, Lambda, DynamoDB, API Gateway, EC2, and Kinesis) to build cloud-native solutions. • Collaborate with cross-functional teams to define, design, and deliver new features. • Contribute to technical discussions, architecture reviews, and perform peer code reviews to ensure high standards of performance and quality. • Drive innovation and continuous improvement, proactively learning and adapting to new technologies, tools, and best practices. • Demonstrate ownership of individual services, and actively work to support and improve them in production. • Work within an Agile, scrum-based team, solving complex challenges and influencing architecture. • Implement and leverage DevOps practices including CI/CD (Concourse and Jenkins) and containerization (Docker). • Write and maintain unit and integration tests for developed software.
Education
Udacity
Google India Scholarship Program
2018 — 2018
NIIT Institute
Oracle Certification on Web Component Development using Java Technologies
2013 — 2013
Royale Concorde International School
10th Grade
2005 — 2007
CMR National PU College
Pre-University Course
2008 — 2010
Visvesvaraya Technological University
Bachelor of Engineering - BE
2010 — 2014
Skills
- Rapid Prototyping
- C
- Python
- Project Management
- C++
- Node Red
- Microsoft Azure
- Windows
- Microsoft Office
- Hibernate
- Iot
- Html
- Mysql
- Java
- Css
- Business Development
- Ccna
- Networking
- Management
- Javascript
- Customer Service
- Spring Framework
- Maven
- Citrix Xenapp
- Watson Iot
- Sql
- Android Studio
- Programming
- Microsoft Excel
- Android Development
- Powerpoint
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